Ali Shariq Imran

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About

Ali Shariq Imran is a researcher focused at the intersection of robotics, computer vision, and construction automation. His work addresses critical challenges in autonomous navigation and site monitoring, particularly through advances in Simultaneous Localization and Mapping (SLAM). Imran’s research on head-based tracking systems tackles the computational demands of estimating robot location and environmental mapping—a core problem for mobile robot navigation, odometry, and industrial automation. His most cited paper, “Head Based Tracking” (2020), has garnered 4 citations, reflecting foundational interest in efficient SLAM solutions. More recently, Imran has explored the practical deployment of open-vocabulary vision models for detecting Mechanical, Electrical, and Plumbing (MEP) elements on construction sites (2025). This work addresses the persistent gap between laboratory capabilities and real-world construction deployment, aiming to enhance accuracy, efficiency, and safety through ground robots. By bridging state-of-the-art computer vision with the unique constraints of construction environments, Imran contributes to the slow but steady integration of robotics into traditional workflows—a field with immense potential to transform the industry.